"Your World. Your Imagination." (And an $800,000 Line Item Nobody Saw Coming.)

The strangest project I've ever been part of didn't use new technology. It used a fifteen-year-old video game — it worked, other teams wanted it, and it still didn't survive the budget cycle.

The $12M Fix Our Own Team Asked For ... Then Almost Killed.

Four issues on AI projects that failed. Here's one that worked, and the group that nearly stopped it wasn't the one you'd guess.

Lucky #13? 88% Say They Have the Talent. 22% Are Paying to Build It.

Three issues of AI failures. One bill nobody paid.

The AI Got It Right. We Couldn't Tell If It Was Lucky.

We could check the answer. We couldn't check the reasoning.

Somebody Has to Own the Kill Switch. Almost Nobody Does.

We Shipped the AI Chatbot Everyone Wants. Then We Killed It in Eight Weeks.

Issue #10: What a fast kill taught us about where AI actually earns its keep in B2B commerce

B2B eCommerce stopped being a science project. The numbers say so.

Distributors and manufacturers are posting hard eCommerce numbers this year. The figure everyone quotes is the tip; the durable story is underneath it.

The Weekend The Agent Did Its Job Perfectly

Agentic AI doesn't answer. It acts. Here's the rollout that earns it the right to — one rung at a time.

Your AI dashboard is green. Your deployment might be dying.

The metrics that make an AI look good in a demo are almost never the ones that tell you it's earning its keep in production.

Four ways implementations go sideways — and the early warning sign for each

Most failed implementations were diagnosable months before go-live. The warning signs are boring, repeatable, and easy to miss when you're heads-down shipping.

The AI deployment that earns money — and the one that doesn't

They cost about the same to build. One pays for itself in a quarter; the other becomes a line item nobody will defend. The difference isn't the model.

Four Kinds of Resistance ... And The One Leaders Keep Excusing

Issues #1–3 covered the decisions leaders make. This one is about the people who absorb them - why the loudest resister is often right, and why one kind of pushback isn't information at all.

Three AI questions every mid-market IT leader is wrestling with

At a recent industry roundtable, the AI questions practitioners actually ask landed in three areas — and the honest answers are not always the ones that are led with.

Five questions before you sign the SOW (and the answers that protect both sides)

Issue #1 named the two disciplines mid-market skips. This is the operating manual for the second one — without the vendor-versus-customer framing.

When the platform still earns: two disciplines mid-market skips

Why your platform replacement earns less than the one it replaced — and the two artifacts that prevent it.